Extension of Range Migration Algorithm to Squint Circular SAR Imaging

被引：36

作者：

Lin, Yun ^{[1
]}

Hong, Wen ^{[1
]}

Tan, Weixian ^{[1
]}

Wu, Yirong ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Natl Key Lab Microwave Imaging Technol, Beijing 100190, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2011年 / 8卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Circular synthetic aperture radar (SAR) (CSAR); range migration algorithm (RMA); squint CSAR; 3-D imaging; SYNTHETIC-APERTURE RADAR;

D O I：

10.1109/LGRS.2010.2098843

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This letter presents a new algorithm for squint circular synthetic aperture radar (SAR) (CSAR) imaging, which is an extension of the well-known range migration algorithm. Due to the circular trajectory, the spatial frequency domain data of squint CSAR cannot be readily obtained via fast Fourier transform, as conventional SAR with straight path does. This method first employs along-track varying system kernels and filters to transform the raw data to the polar spatial frequency domain. Then, it uses an interpolation algorithm to convert the polar samples into rectilinear samples. Implementation aspects, including sampling criteria, resolutions, and computational complexity, are also assessed in this letter. The proposed algorithm is validated both numerically and experimentally.

引用

页码：651 / 655

页数：5

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